Constant

Constant - 13

Version

• name: Constant (GitHub)

• domain: main

• since_version: 13

• function: False

• support_level: SupportType.COMMON

• shape inference: True

This version of the operator has been available since version 13.

Summary

This operator produces a constant tensor. Exactly one of the provided attributes, either value, sparse_value, or value_* must be specified.

Attributes

• sparse_value: The value for the elements of the output tensor in sparse format.

• value: The value for the elements of the output tensor.

• value_float: The value for the sole element for the scalar, float32, output tensor.

• value_floats: The values for the elements for the 1D, float32, output tensor.

• value_int: The value for the sole element for the scalar, int64, output tensor.

• value_ints: The values for the elements for the 1D, int64, output tensor.

• value_string: The value for the sole element for the scalar, UTF-8 string, output tensor.

• value_strings: The values for the elements for the 1D, UTF-8 string, output tensor.

Outputs

• output (heterogeneous) - T: Output tensor containing the same value of the provided tensor.

Type Constraints

• T in ( tensor(bfloat16), tensor(bool), tensor(complex128), tensor(complex64), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) ): Constrain input and output types to all tensor types.

Examples

Differences

0	0	This operator produces a constant tensor. Exactly one of the provided attributes, either value, sparse_value,	This operator produces a constant tensor. Exactly one of the provided attributes, either value, sparse_value,
1	1	or value_* must be specified.	or value_* must be specified.
2	2
3	3	**Attributes**	**Attributes**
4	4
5	5	* **sparse_value**:	* **sparse_value**:
6	6	The value for the elements of the output tensor in sparse format.	The value for the elements of the output tensor in sparse format.
7	7	* **value**:	* **value**:
8	8	The value for the elements of the output tensor.	The value for the elements of the output tensor.
9	9	* **value_float**:	* **value_float**:
10	10	The value for the sole element for the scalar, float32, output	The value for the sole element for the scalar, float32, output
11	11	tensor.	tensor.
12	12	* **value_floats**:	* **value_floats**:
13	13	The values for the elements for the 1D, float32, output tensor.	The values for the elements for the 1D, float32, output tensor.
14	14	* **value_int**:	* **value_int**:
15	15	The value for the sole element for the scalar, int64, output tensor.	The value for the sole element for the scalar, int64, output tensor.
16	16	* **value_ints**:	* **value_ints**:
17	17	The values for the elements for the 1D, int64, output tensor.	The values for the elements for the 1D, int64, output tensor.
18	18	* **value_string**:	* **value_string**:
19	19	The value for the sole element for the scalar, UTF-8 string, output	The value for the sole element for the scalar, UTF-8 string, output
20	20	tensor.	tensor.
21	21	* **value_strings**:	* **value_strings**:
22	22	The values for the elements for the 1D, UTF-8 string, output tensor.	The values for the elements for the 1D, UTF-8 string, output tensor.
23	23
24	24	**Outputs**	**Outputs**
25	25
26	26	* **output** (heterogeneous) - **T**:	* **output** (heterogeneous) - **T**:
27	27	Output tensor containing the same value of the provided tensor.	Output tensor containing the same value of the provided tensor.
28	28
29	29	**Type Constraints**	**Type Constraints**
30	30
31	31	* **T** in (	* **T** in (
	32		tensor(bfloat16),
32	33	tensor(bool),	tensor(bool),
33	34	tensor(complex128),	tensor(complex128),
34	35	tensor(complex64),	tensor(complex64),
35	36	tensor(double),	tensor(double),
36	37	tensor(float),	tensor(float),
37	38	tensor(float16),	tensor(float16),
38	39	tensor(int16),	tensor(int16),
39	40	tensor(int32),	tensor(int32),
40	41	tensor(int64),	tensor(int64),
41	42	tensor(int8),	tensor(int8),
42	43	tensor(string),	tensor(string),
43	44	tensor(uint16),	tensor(uint16),
44	45	tensor(uint32),	tensor(uint32),
45	46	tensor(uint64),	tensor(uint64),
46	47	tensor(uint8)	tensor(uint8)
47	48	):	):
48	49	Constrain input and output types to all tensor types.	Constrain input and output types to all tensor types.

Constant - 12

Version

• name: Constant (GitHub)

• domain: main

• since_version: 12

• function: False

• support_level: SupportType.COMMON

• shape inference: True

This version of the operator has been available since version 12.

Summary

This operator produces a constant tensor. Exactly one of the provided attributes, either value, sparse_value, or value_* must be specified.

Attributes

• sparse_value: The value for the elements of the output tensor in sparse format.

• value: The value for the elements of the output tensor.

• value_float: The value for the sole element for the scalar, float32, output tensor.

• value_floats: The values for the elements for the 1D, float32, output tensor.

• value_int: The value for the sole element for the scalar, int64, output tensor.

• value_ints: The values for the elements for the 1D, int64, output tensor.

• value_string: The value for the sole element for the scalar, UTF-8 string, output tensor.

• value_strings: The values for the elements for the 1D, UTF-8 string, output tensor.

Outputs

• output (heterogeneous) - T: Output tensor containing the same value of the provided tensor.

Type Constraints

• T in ( tensor(bool), tensor(complex128), tensor(complex64), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) ): Constrain input and output types to all tensor types.

Differences

0	0	A constant tensor. Exactly one of the two attributes, either value or sparse_value,	This operator produces a constant tensor. Exactly one of the provided attributes, either value, sparse_value,
1	1	must be specified.	or value_* must be specified.
2	2
3	3	**Attributes**	**Attributes**
4	4
5	5	* **sparse_value**:	* **sparse_value**:
6	6	The value for the elements of the output tensor in sparse format.	The value for the elements of the output tensor in sparse format.
7	7	* **value**:	* **value**:
8	8	The value for the elements of the output tensor.	The value for the elements of the output tensor.
	9		* **value_float**:
	10		The value for the sole element for the scalar, float32, output
	11		tensor.
	12		* **value_floats**:
	13		The values for the elements for the 1D, float32, output tensor.
	14		* **value_int**:
	15		The value for the sole element for the scalar, int64, output tensor.
	16		* **value_ints**:
	17		The values for the elements for the 1D, int64, output tensor.
	18		* **value_string**:
	19		The value for the sole element for the scalar, UTF-8 string, output
	20		tensor.
	21		* **value_strings**:
	22		The values for the elements for the 1D, UTF-8 string, output tensor.
9	23
10	24	**Outputs**	**Outputs**
11	25
12	26	* **output** (heterogeneous) - **T**:	* **output** (heterogeneous) - **T**:
13	27	Output tensor containing the same value of the provided tensor.	Output tensor containing the same value of the provided tensor.
14	28
15	29	**Type Constraints**	**Type Constraints**
16	30
17	31	* **T** in (	* **T** in (
18	32	tensor(bool),	tensor(bool),
19	33	tensor(complex128),	tensor(complex128),
20	34	tensor(complex64),	tensor(complex64),
21	35	tensor(double),	tensor(double),
22	36	tensor(float),	tensor(float),
23	37	tensor(float16),	tensor(float16),
24	38	tensor(int16),	tensor(int16),
25	39	tensor(int32),	tensor(int32),
26	40	tensor(int64),	tensor(int64),
27	41	tensor(int8),	tensor(int8),
28	42	tensor(string),	tensor(string),
29	43	tensor(uint16),	tensor(uint16),
30	44	tensor(uint32),	tensor(uint32),
31	45	tensor(uint64),	tensor(uint64),
32	46	tensor(uint8)	tensor(uint8)
33	47	):	):
34	48	Constrain input and output types to all tensor types.	Constrain input and output types to all tensor types.

Constant - 11

Version

• name: Constant (GitHub)

• domain: main

• since_version: 11

• function: False

• support_level: SupportType.COMMON

• shape inference: True

This version of the operator has been available since version 11.

Summary

A constant tensor. Exactly one of the two attributes, either value or sparse_value, must be specified.

Attributes

• sparse_value: The value for the elements of the output tensor in sparse format.

• value: The value for the elements of the output tensor.

Outputs

• output (heterogeneous) - T: Output tensor containing the same value of the provided tensor.

Type Constraints

• T in ( tensor(bool), tensor(complex128), tensor(complex64), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) ): Constrain input and output types to all tensor types.

Differences

0	0	A constant tensor.	A constant tensor. Exactly one of the two attributes, either value or sparse_value,
	1		must be specified.
1	2
2	3	**Attributes**	**Attributes**
3	4
	5		* **sparse_value**:
4	6	* **value** (required):	The value for the elements of the output tensor in sparse format.
	7		* **value**:
5	8	The value for the elements of the output tensor.	The value for the elements of the output tensor.
6	9
7	10	**Outputs**	**Outputs**
8	11
9	12	* **output** (heterogeneous) - **T**:	* **output** (heterogeneous) - **T**:
10	13	Output tensor containing the same value of the provided tensor.	Output tensor containing the same value of the provided tensor.
11	14
12	15	**Type Constraints**	**Type Constraints**
13	16
14	17	* **T** in (	* **T** in (
15	18	tensor(bool),	tensor(bool),
16	19	tensor(complex128),	tensor(complex128),
17	20	tensor(complex64),	tensor(complex64),
18	21	tensor(double),	tensor(double),
19	22	tensor(float),	tensor(float),
20	23	tensor(float16),	tensor(float16),
21	24	tensor(int16),	tensor(int16),
22	25	tensor(int32),	tensor(int32),
23	26	tensor(int64),	tensor(int64),
24	27	tensor(int8),	tensor(int8),
25	28	tensor(string),	tensor(string),
26	29	tensor(uint16),	tensor(uint16),
27	30	tensor(uint32),	tensor(uint32),
28	31	tensor(uint64),	tensor(uint64),
29	32	tensor(uint8)	tensor(uint8)
30	33	):	):
31	34	Constrain input and output types to all tensor types.	Constrain input and output types to all tensor types.

Constant - 9

Version

• name: Constant (GitHub)

• domain: main

• since_version: 9

• function: False

• support_level: SupportType.COMMON

• shape inference: True

This version of the operator has been available since version 9.

Summary

A constant tensor.

Attributes

• value (required): The value for the elements of the output tensor.

Outputs

• output (heterogeneous) - T: Output tensor containing the same value of the provided tensor.

Type Constraints

• T in ( tensor(bool), tensor(complex128), tensor(complex64), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) ): Constrain input and output types to all tensor types.

Differences

0	0	A constant tensor.	A constant tensor.
1	1
2	2	**Attributes**	**Attributes**
3	3
4	4	* **value** (required):	* **value** (required):
5	5	The value for the elements of the output tensor.	The value for the elements of the output tensor.
6	6
7	7	**Outputs**	**Outputs**
8	8
9	9	* **output** (heterogeneous) - **T**:	* **output** (heterogeneous) - **T**:
10	10	Output tensor containing the same value of the provided tensor.	Output tensor containing the same value of the provided tensor.
11	11
12	12	**Type Constraints**	**Type Constraints**
13	13
14	14	* **T** in (	* **T** in (
	15		tensor(bool),
	16		tensor(complex128),
	17		tensor(complex64),
15	18	tensor(double),	tensor(double),
16	19	tensor(float),	tensor(float),
17	20	tensor(float16)	tensor(float16),
	21		tensor(int16),
	22		tensor(int32),
	23		tensor(int64),
	24		tensor(int8),
	25		tensor(string),
	26		tensor(uint16),
	27		tensor(uint32),
	28		tensor(uint64),
	29		tensor(uint8)
18	30	):	):
19	31	Constrain input and output types to float tensors.	Constrain input and output types to all tensor types.

Constant - 1

Version

• name: Constant (GitHub)

• domain: main

• since_version: 1

• function: False

• support_level: SupportType.COMMON

• shape inference: True

This version of the operator has been available since version 1.

Summary

A constant tensor.

Attributes

• value (required): The value for the elements of the output tensor.

Outputs

• output (heterogeneous) - T: Output tensor containing the same value of the provided tensor.

Type Constraints

• T in ( tensor(double), tensor(float), tensor(float16) ): Constrain input and output types to float tensors.

previous

ConcatFromSequence

next

ConstantOfShape